Workshop on Systems Biology, Tue, 06 Nov, 2007
Speaker: John Lu
Abstract
Microarray platforms using parallel combinatorial chemistry principle have provided the most exciting opportunities for monitoring cellular responses at the genomic and proteomic levels for studying various biological effects. Many current attentions have been focused on the performance and measurement quality of such high throughput measurement platforms. I will describe recent accomplishments in developing metrology for high throughput gene expression and mass spectrometry experiments at NIST, focusing in particular on the key sources of measurement errors, including both sample and experimental effects, and the recently developed robust statistical methods for high-dimensional measurement evaluations and comparison. I will also describe some recent collaborative work with NIST chemists on issues related to cellular imaging in studying the stochastic effects in intracellular pathways using recently developed statistical methods for distributional analysis as curves. Biological systems are often coupled and weakly connected in some network fashion to produce emergent and phase transition behaviors. I will describe how some newly developed robust statistical measures can be used to detect phase changes and parameter instability.
URL: www.ricam.oeaw.ac.at/specsem/ssqbm/participants/abstracts/index.php
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